Differences in the standard error of parameters computed via the hessian inverse and via QR decomposition Question: I have solved a nonlinear optimization and I am trying to compute the standard error of the parameters obtained. I found two options: One uses the fractional covariance matrix formed from the inverse of the hessian while the …
How to fix 'The array returned by a function changed size between calls' while using lmfit for minimization? Question: How can I fix code with error ‘The array returned by a function changed size between calls’ while using lmfit for minimization? Please find my code below: import numpy as np import pandas as pd import …
Same optimization code different results on different computers Question: I am running nested optimization code. sp.optimize.minimize(fun=A, x0=D, method=”SLSQP”, bounds=(E), constraints=({‘type’:’eq’,’fun’:constrains}), options={‘disp’: True, ‘maxiter’:100, ‘ftol’:1e-05}) sp.optimize.minimize(fun=B, x0=C, method=”Nelder-Mead”, options={‘disp’: True}) The first minimization is the part of the function B, so it is kind of running inside the second minimization. And the whole optimization is based …
